Big Data Lead

Experience Level: 10+ years 

Required Skills and Expertise:

 • Experience: 10+ years of experience in data engineering, data architecture, data science and reporting.

 • Data Architecture: Proven expertise in designing and managing scalable data architecture, including data lakes, warehouses, and pipelines.

 • Data Science: Strong understanding of machine learning, statistical modeling, and data analytics.

 • Power BI: Understanding the dashboard, reports and underline semantic layer and queries 

• Mongo: Understanding and usage of mongo for troubleshooting, development perspective 

• Kubernetes/Dockers: Current env is in containers based so it is nice to have 

• Python Expertise: Hands-on and advanced proficiency in Python for data engineering, automation, and analytics tasks. 

Key Responsibilities: 

• Design, implement, and optimize scalable data architectures to support business intelligence, analytics, reporting and machine learning initiatives.

 • Develop and execute an overarching data strategy that aligns with organizational goals and objectives.

 • Lead the development and management of the entire data landscape, including data pipelines, data lakes, and data warehouses. 

• Leverage Python programming for data engineering tasks, including automation, data processing, and analytics. 

• Provide thought leadership and guidance on emerging trends and technologies in data engineering, data science, data architecture and reporting